Feihong Yang
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2026
Global Policy-Space Response Oracles for Two-Player Zero-Sum Games
The paper introduces Global PSRO, a novel deep reinforcement learning framework that efficiently approximates Nash equilibria in large two-player zero-sum games by intelligently expanding the strategy set using a metric called Population Exploitability.
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cs.AIRecentMay 27, 2026
Global Policy-Space Response Oracles for Two-Player Zero-Sum Games
Junyu Zhang, Feihong Yang, Jian Wang, Chao Wang +1 more
The paper introduces Global PSRO, a novel deep reinforcement learning framework that efficiently approximates Nash equilibria in large two-player zero-sum games by intelligently expanding the strategy…
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